Matricis Informatique Inc - //m4 Predictive Maintenance Solution

The predictive maintenance solution //m4, through our analytical suite, allows you to capture data from your equipment and assets, analyze them, view them and predict potential failures before they occur. It then transforms these data insights into actions that are integrated into your business system including CMMS. Its process automation module also allows you to manage and monitor processes and tasks in real time, which, in return will help extend the life of your assets based on their actual state and on a better understanding of their failures. Implementing //m4 will help you greatly to move from a reactive maintenance mode to a proactive one that will focus on the improvement of your asset’s life cycle. Powered by PowerBI, //m4 provides

The predictive maintenance solution //m4, through our analytical suite, allows you to capture data from your equipment and assets, analyze them, view them and predict potential failures before they occur. It then transforms these data insights into actions that are integrated into your business system including CMMS. Its process automation module also allows you to manage and monitor processes and tasks in real time, which, in return will help extend the life of your assets based on their actual state and on a better understanding of their failures. Implementing //m4 will help you greatly to move from a reactive maintenance mode to a proactive one that will focus on the improvement of your asset’s life cycle.

Powered by PowerBI, //m4 provides

An overview of the critical assets performance through a customized dashboard which lets you:

- Visualize the different KPIs of your organization. - Centralize the view of the asset’s state coming from your different facilities or sites. - View maintenance activities that occurred on your assets. - Create easily your own dashboard that reflects your organization needs allowing you to make the right decision at the right time.

A view of specific sites that shows deeper information on the monitored assets.

And a drill down to specific data information to better understand the asset’s behavior.

In the provided PowerBI example shown here, HVAC systems are monitored in different buildings where predictions are made based on the HVAC pressure values which permits you to take actions in advance allowing you to reduce your maintenance costs.